Skip to main content

Tsunami Early Warning System: An Indian Ocean Perspective

  • Chapter
Natural and Anthropogenic Disasters

Abstract

Tsunamis are considered the most devastating natural hazard on coastal environments ever known. Densely populated cities on coastal belts are the engines of economic growth and the centers of innovation for global economy and hinterlands of respective nations. As we know most of global cities are located near the coast facilitating trade and commerce. They are also located near the mouths of major perennial rivers which serve as conduits for commerce connecting rest of the world. These locations place major cities at a greater risk of natural hazards viz., cyclones, flooding, sea-level rise, tsunamis, etc. With the increasing intensity of economic exploitation in coastal belts, there is also an increase in socio-economic consequences resulting from the hazardous action of tsunami waves generated from submarine seismic activity and other causes. On 26 December 2004, the countries within the vicinity of East Indian Ocean experienced and witnessed the most devastating tsunami in recorded history. This tsunami was triggered by an earthquake of magnitude 9.0 on the Richter scale at 3.4° N, 95.7° E off the coast of Sumatra in the Indonesian Archipelago at 06:29 hrs IST (00:59 hrs GMT).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Bapat, A., Kulkarni, R.C. and Guha, S.K. (1983). Catalog of Earthquakes in India and Neighborhood from Historical Period up to 1979. Ind. Soc. Earthq. Tech., Roorkee, 211 pp.

    Google Scholar 

  • Barman, R., Prasad, K.B., Pandey, P.C. and Dube, S.K. (2006). Tsunami travel time prediction using neural networks. Geophysical Research Letters, 33: L16612, doi:10.1029/2006GL026688.

    Google Scholar 

  • Bindra, S. (2005). Tsunami: 7 Hours that Shook the World. Harper Collins Publications, New Delhi, India, 291 pp.

    Google Scholar 

  • Bishop, C.M. (1995). Neural Networks for Pattern Recognition. Oxford University Press, Oxford, U.K., pp. 364–369.

    Google Scholar 

  • Chapman, C. (2005). The Asian tsunami in Sri Lanka: A personal experience. EOS, Transactions American Geophysical Union, 86(1): 13–14.

    Google Scholar 

  • Dayhoff, J.E. (1990). Neural Network Architecture: An Introduction. Van Nostrand Reinhold, New York, 259 pp.

    Google Scholar 

  • Hanson, J.A. and Bowman, J.R. (2005). Dispersive and reflected tsunami signals from the 2004 Indian Ocean tsunami observed on hydrophones and seismic stations. Geophysical Research Letters, 32: L17606, doi:10.1029/2005GL023783.

    Article  Google Scholar 

  • Hinton, G.E. (1992). How neural networks learn from experience. Sci. Amer., 9: 144–151.

    Article  Google Scholar 

  • Holloway, G., Murty, T.S. and Fok, E. (1986). Effects of bathymetric roughness upon tsunami travel time. Science of Tsunami Hazards, 4(3): 165–172.

    Google Scholar 

  • Li, S., Hsieh, W.W. and Wu, A. (2005). Hybrid coupled modeling of the tropical Pacific using neural networks. J. Geophys. Res., 110: C09024, doi:10.1029/2004JC002595.

    Article  Google Scholar 

  • Lietzin, E. (1974). Sea Level Changes. Elsevier Oceanographic Series, No. 8, New York, 273 pp.

    Google Scholar 

  • More, J.J. (1978). The Levenberg-Marquardt Algorithm: Implementation and Theory. In: G.A. Watson (editor), Lecture Notes in Mathematics, 630, Springer-Verlag, Berlin, pp. 105–116.

    Google Scholar 

  • Murty, T.S. (1984). Storm Surges — Meteorological Ocean Tides. Canadian Bulletin of Fisheries and Aquatic Sciences, 212, Department of Fisheries and Oceans, Ottawa, Canada, 897 pp.

    Google Scholar 

  • Murty, T.S., Saxena, N.K., Sloss, P.W. and Lockridge, P.A. (1987). Accuracy of tsunami travel time charts. Marine Geodesy, 11: 89–102.

    Article  Google Scholar 

  • Navone, H.D. and Ceccatto, H.A. (1994) Predicting Indian monsoon rainfall: A neural network approach. Climate Dynamics, 10(6): 305–312.

    Article  Google Scholar 

  • Okal, E.A., Plafker, G., Synolakis, C.E. and Borrero, J.C. (2002). Near-field survey of the 1946 Aleutian tsunami on Unimak and Sanak Islands. Bulletin Seismological Society of America, 93: 1226–1234.

    Article  Google Scholar 

  • Orman, J.V., Cochran, J.R., Weissel, J.K. and Jestin, F. (1995). Distribution of shortening between the Indian and Australian plates in the central Indian Ocean. Earth and Planetary Science Letters, 133(1–2): 35–46.

    Google Scholar 

  • Pendse, C.G. (1945). The Mekran Earthquake of the 28th November 1945. India Meteor. Department Scientific Notes, 10(25): 142–145.

    Google Scholar 

  • Prasad, K.B., Dube, S.K., Murty, T.S., Gangopadhyay, A., Chaudhuri, A. and Rao, A.D. (2005). Tsunami Travel Time Atlas for the Indian Ocean. CORAL, Indian Institute of Technology Kharagpur, West Bengal, India, 286 pp.

    Google Scholar 

  • Prasad, K.B., Rajesh, K.R., Dube, S.K., Murty, T.S., Gangopadhyay, A., Chaudhuri, A. and Rao, A.D. (2006). Tsunami travel time computation and skill assessment for the 26 December 2004 event in the Indian Ocean. Coastal Engineering Journal, 48(2): 147–166.

    Article  Google Scholar 

  • Reidmiller, M. and Braun, H. (1993). A direct adaptive method for faster back-propagation learning: The RPROP algorithm. Proc. IEEE Int. Conf. on Neural Networks, San Francisco, pp. 586–591.

    Google Scholar 

  • Silverman, D. and Dracup, J. (2000). Artificial neural networks and long range precipitation prediction in California. Journal of Applied Meteorology, 31(1): 57–66.

    Article  Google Scholar 

  • Simon, H. (1998). Neural Networks: A Comprehensive Foundation. 2nd Edition, Prentice-Hall, Englewood Cliffs, New Jersey, 842 pp.

    Google Scholar 

  • Synolakis, C.E. (1995). Tsunami prediction. Science, 270: 15–16.

    Article  Google Scholar 

  • Tandon, A.N. and Srivastava, H.N. (1974). Earthquake Occurrence in India: Earthquake Engineering. Sarita Prakashan, Meerut, 48 pp.

    Google Scholar 

  • Venkatesan, C., Raskar, S.D., Tambe, S.S., Kulkarni, B.D. and Keshavamurty, R.N. (1997). Prediction of all India summer monsoon rainfall using error-back-propagation neural networks. Meteorology and Atmospheric Physics, 62: 225–240.

    Article  Google Scholar 

  • Yeh, H., Liu, P., Briggs, M. and Synolakis, C.E. (1994). Tsunami catastrophe in Babi Island. Nature, 372: 6503–6508.

    Google Scholar 

  • Yong, W., Kwok, F.C., George, D.C. and Charles, S.M. (2003). Inverse algorithm for tsunami forecasts. Journal of Waterway, Port, Coastal and Ocean Engineering, 129(2): 60–69.

    Article  Google Scholar 

  • Yuri, I.S. and Leonid, B.C. (1995). Mathematical modeling in mitigating the hazardous effect of tsunami waves in the ocean: A priori analysis and timely on-line forecast. Science of Tsunami Hazards, 13(1): 27–44.

    Google Scholar 

  • Zetler, B.D. (1947). Travel time of seismic sea waves to Honolulu. Pacific Science, 1(203): 185–188.

    Google Scholar 

  • Zurada, J.M. (1992). Introduction to Artificial Neural Systems. West Publishing Company, St. Paul, Minnesota, 785 pp.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Prasad K. Bhaskaran .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Capital Publishing Company

About this chapter

Cite this chapter

Bhaskaran, P.K., Pandey, P.C. (2010). Tsunami Early Warning System: An Indian Ocean Perspective. In: Jha, M.K. (eds) Natural and Anthropogenic Disasters. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-2498-5_6

Download citation

Publish with us

Policies and ethics